high performance computing on graphics processing units: hgpu.org

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The ‘Chimera’: an off-the-shelf CPU/GPGPU/FPGA hybrid computing platform

Ra Inta, David J. Bowman, Susan M. Scott

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Hybrid computing, nVidia, Tesla C2070

January 18, 2012 by hgpu

Investigation of Parallel Computation – MPI, CUDA and Parallel Visualization

Lei Fan

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Tags: Algorithms, Computer science, CUDA, Fluid dynamics, MPI, nVidia, OpenGL, Sorting, Visualization

January 18, 2012 by hgpu

Evaluation and enhancement of memory efficiency targeting general-purpose computations on scalable data-parallel GPU architectures

Byunghyun Jang

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Benchmarking, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Thesis

January 18, 2012 by hgpu

RNS-Based Elliptic Curve Point Multiplication for Massive Parallel Architectures

Samuel Antao, Jean-Claude Bajard, Leonel Sousa

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Tags: Algorithms, Computer science, Elliptic curves, nVidia, nVidia GeForce GTX 285, OpenCL, Security

January 18, 2012 by hgpu

GPU-based implementation of a cerebellar spiking network model for realtime robot control

Tadashi Yamazaki, Jun Igarashi

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 580

January 17, 2012 by hgpu

Data registration module – a component of semantic simulation engine

Janusz Bedkowski

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Nearest neighbour, nVidia, nVidia GeForce GTX 580

January 17, 2012 by hgpu

Closing the Ninja Performance Gap through Traditional Programming and Compiler Technology

Changkyu Kim, Nadathur Satish, Jatin Chhugani, Hideki Saito, Rakesh Krishnaiyer, Mikhail Smelyanskiy, Milind Girkar, Pradeep Dubey

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Tags: Algorithms, Compilers, Computer science, CUDA, nVidia, Tesla C2050

January 17, 2012 by hgpu

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Xin Liu, Daqiang Zhang, Jingyu Zhou, Minyi Guo, Yao Shen

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Tags: Computer science, nVidia, nVidia GeForce 9400 M, OpenCL, Optimization, Package, Programming techniques

January 17, 2012 by hgpu

Finding Convex Hulls Using Quickhull on the GPU

Stanley Tzeng, John D. Owens

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Graphics, nVidia, nVidia GeForce GTX 260

January 17, 2012 by hgpu

Programming on Parallel Machines: GPU, Multicore, Clusters and More

Norm Matloff

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Tags: Book, Computer science, CUDA, MPI, nVidia, Package, Programming techniques, Review, Tutorial

January 16, 2012 by hgpu

FPGA Based Acceleration of Decimal Operations

Alberto Nannarelli

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Tags: Computer science, Finance, FPGA, Performance

January 16, 2012 by hgpu

A Modular System Architecture for Online Parallel Vision Pipelines

Jeremie Papon, Alexey Abramov, Eren Aksoy, Florentin Worgotter

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 295, Optical flow, Package

January 16, 2012 by hgpu

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

See all packages

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high performance computing on graphics processing units: hgpu.org

The ‘Chimera’: an off-the-shelf CPU/GPGPU/FPGA hybrid computing platform

Investigation of Parallel Computation – MPI, CUDA and Parallel Visualization

Evaluation and enhancement of memory efficiency targeting general-purpose computations on scalable data-parallel GPU architectures

RNS-Based Elliptic Curve Point Multiplication for Massive Parallel Architectures

GPU-based implementation of a cerebellar spiking network model for realtime robot control

Data registration module – a component of semantic simulation engine

Closing the Ninja Performance Gap through Traditional Programming and Compiler Technology

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Finding Convex Hulls Using Quickhull on the GPU

Programming on Parallel Machines: GPU, Multicore, Clusters and More

FPGA Based Acceleration of Decimal Operations

A Modular System Architecture for Online Parallel Vision Pipelines

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

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